Activity counts measure attention, not model quality. Missing counts are unknown. Publication status follows the linked source; a listed venue alone does not confirm peer review.
- Form factor
- Clinical
- Signals
- ECG
- License
none declared (no LICENSE file in repo at the recorded commit; all rights reserved by default)
- Type
- Task model
- Modalities
- ECG
- Form factor
- Clinical
- Parameters
- Not reported
- Architecture
- Not reported
- Venue
- Not reported
- Year
- Not reported
- arXiv
- Not reported
- DOI
- Not reported
- Weights
- Not released
- Licence
- none declared (no LICENSE file in repo at the recorded commit; all rights reserved by default)
- Caveats
- Not reported
- Datasets
- Not reported
- Added
- Oct 19, 2026
- Updated
- Oct 19, 2026
Original description
Qwen3.5-35B-A3B · main results on seven external benchmarks · three rounds. Accuracy and multi-label F1 are reported on a 0–100 scale.
The two means give equal weight to each benchmark within the corresponding task group. CSN denotes Chapman–Shaoxing–Ningbo; G12EC denotes the Georgia 12-Lead ECG Challenge Database.
Verbatim fromGitHub· Description from the repository README
How it works
- Inputs
- ECG
- Approach
- code release · no weights
Datasets
Papers· 1
Cite
APA
ECG-RSI. (n.d.).
BibTeX
@misc{ecgrsiecgrsi,
title = {{ECG-RSI}}
}Built from the hub record. Check it against the publisher before submitting.
History
Added to the ChatPPG research hub